1/7/2021

This file contains the replication materials for the forthcoming article in Political Behavior: "Congressional Approval & Responsible Party Government: The Role of Partisanship & Ideology in Citizen Assessments of the Contemporary U.S. Congress"

Note: ANES refers to data from American National Election Studies and CCES refers to data from the Cooperative Congressional Election Study.

Note: Each R script denotes which R packages are required to replicate the analysis of each respective scripts. Please install these packages for successful replication of each script.

Note: Please store all the files in the same directory and set the appropriate working directory as noted at the beginning of each R script for successful replication.

*** Description of the include data & script files ***

Figure2_Figure3_ideal_point_validation.Rdata provides the data needed to replicate Figures 2 & 3 validating the Perceptual & Roll-Call Based Ideal Points by Self-Placements (Figure 2) and Elite Ideal Points by Conventional Ideological Measures, 2008-2016 (Figure 3A & B).

Manuscript_Replication_Figure2_Figure3.R provides the R script needed to replicate Figures 2 & 3 validating the Perceptual & Roll-Call Based Ideal Points by Self-Placements (Figure 2) and Elite Ideal Points by Conventional Ideological Measures, 2008-2016 (Figure 3A & B). This R Data environment contains a CCES data frame that validates Figure 2, Figure 3 is validated using the House & Bonica data frames to validate the estimated ideal points estimated for the U.S. House against DW-Nominate and Bonica DIME scores. Lastly, Figure 3 is validated using the dataframe senator_ideal_pts & Monica data frames to validate the estimated ideal points estimated for the U.S. Senate against DW-Nominate and Bonica DIME scores.

Figure7_pid_ideo_correlation.Rdata provides the data needed to replicate Figure 7: "Correlation between Partisan & Ideological Preferences, 1980-2016".

Manuscript_Replication_Figure7.R provides the R script needed tor replicate Figure 7. The script pulls self-reported partisanship and liberal-conservative self-placement from the nes (ANES Time-Series Data, 1972-2012) and nes2016 (2016 ANES data file) and then calculates the correlation between the two variables for every cross-sectional year of the American National Election Study from 1972 to 2016.

roll_call_table_data.Rdata provides the data needed to replicate "Table 1: Congressional Roll-Call Policy Items Used in Joint-Scaling Ideal Point Estimation, 2010 CCES Panel" and "Table 2: Congressional Roll-Call Policy Items Used in Joint-Scaling Ideal Point Estimation, 2008-2016". Each dataframe of this dataset contains all roll-call items presented to CCES respondents for each survey cross-sectional and panel wave year from 2008 to 2016. These Tables are replicated in the Manuscript_Models_Replication_Tables.R script.

Manuscript_Models_Replication_Tables.R provides the R script that replicates each of the model output tables in the manuscript and appendix. Note that this file replicates each of the models used to also derive the manuscript analytical figures. Specifically, this R script replicates manuscript Tables 1-4 and appendix tables.

Manuscript_Models_Replication_Figures1_4_5_6_8_Appendix_Figures.R provides the R script that replicates Figures 1, 4, 5, 6, 8 and the appendix robustness checks figures. Figure 1 articulates the aggregate trend in Congressional Approval by partisanship from 1980-2016 using ANES and CCES. Figure 4 ariculates the pooled model results articulating the "Interactive Effect of Partisanship & Partisan Control of Congress on Pr(Approval)". Figure 5A/B articulates the "Interactive Effect of Proximity & Partisan Control of Congress on Probability of Approval" in the form of marginal effects and predicted probabilities. Figure 6A & B articulates the Interactive Effects of Interest across CCES Panel Wave. Figure 8A & B articulates the Party-Specific Models Isolating Effect of Proximity on Congressional Approval using pooled data and panel wave data, respectively. Lastly, the R script articulates all the appendix robustness checks articulated in Figure form.

Replication_CCES_ANES_Files.Rdata provides the RData to replicate all statistical analysis in the manuscript. This is data required for the R scripts: Manuscript_Models_Replication_Figures1_4_5_6_8_Appendix_Figures.R and Manuscript_Models_Replication_Tables.R
